Name
Abstract | ||
|---|---|---|
With more and more workflow systems adopting cloud as their e xecution environment, it becomes increasingly challenging on how to effic iently manage various workflows, v irtual machines (VMs) and workflow e xecution on VM instances. To make the system scalable and easy-to-extend, we design a Workflow as a Service (WFaaS) a rchitecture with independent services. A core part of the architecture is how to efficiently respond continuous workflo w requests from users and schedule their e xecutions in the c loud. Based on diffe rent targets, we p ropose four heuristic workflo w scheduling a lgorith ms for the WFaaS architecture, and analy ze the differences and best usages of the algorith ms in terms of performance, cost and the price/performance ratio via experimental studies. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.procs.2014.05.049 | Procedia Computer Science |
Keywords | Field | DocType |
Workflow,Cloud,Workflow as a Service (WFaaS) architecture,workflow scheduling algorithms | Workflow technology,Computer science,Scheduling (computing),Windows Workflow Foundation,Workflow engine,Workflow,Workflow management system,Distributed computing,Cloud computing,Scalability | Conference |
Volume | ISSN | Citations |
29 | 1877-0509 | 14 |
PageRank | References | Authors |
0.76 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwu Wang | 1 | 215 | 26.72 |
| Prakashan Korambath | 2 | 25 | 3.16 |
| Ilkay Altintas | 3 | 1191 | 106.09 |
| Jim Davis | 4 | 79 | 5.56 |
| Daniel Crawl | 5 | 243 | 21.02 |